C&D Talent Advisory

Role Description We're looking for a Principal Software Engineer to design and build the core infrastructure powering autonomous AI clinicians. This is a highly hands-on engineering role focused on building large-scale distributed systems, AI agents, secure healthcare infrastructure, and production-grade backend platforms. You'll work directly with founders, hospitals, and healthcare providers to solve complex technical problems that have real-world impact. If you're a builder who thrives in ambiguity, enjoys solving difficult engineering challenges, and wants to shape the future of AI-powered healthcare, we'd love to hear from you. What You'll Do - AI Platform Engineering: - Architect and build AI agent systems for healthcare applications - Design scalable distributed backend services - Develop secure healthcare infrastructure handling sensitive clinical data - Build low-latency communication systems supporting voice and video workflows - Production Engineering: - Build scalable Python services powering enterprise healthcare platforms - Design APIs, orchestration systems, and backend infrastructure - Optimize system performance, scalability, and reliability - Improve deployment, monitoring, and operational excellence - AI Systems: - Build production systems around LLMs, AI agents, and reinforcement learning - Design agent orchestration frameworks - Integrate AI capabilities into real-world healthcare workflows - Continuously improve system accuracy and operational performance - Technical Leadership: - Translate ambiguous product challenges into scalable engineering solutions - Partner directly with founders and product teams - Help shape technical architecture and engineering standards - Mentor engineers through technical leadership and example Qualifications - 5+ years building complex production software systems - Strong Python engineering experience - Experience designing scalable distributed systems - Track record of building production-grade backend platforms - Experience turning ambiguous requirements into reliable solutions - Strong system design and architecture skills - Startup or high-growth company experience - High ownership and strong problem-solving mindset - Excellent communication skills - Based in Europe Requirements - Healthcare technology experience - AI, LLM, or Agentic AI experience - Reinforcement Learning - Cloud infrastructure (AWS, GCP, Azure) - Enterprise software experience - Open-source contributions - Background in Mathematics, Computer Science, or Physics - Experience building products from zero to production Benefits - €100,000–€200,000 salary - Meaningful equity package - Fully remote across Europe - Flexible employment (Permanent or B2B) - Opportunity to work directly with founders - High ownership from day one - Small, elite engineering team - Mission-driven work solving one of healthcare's biggest challenges - Opportunity to build technology with global impact

Role Description We're looking for a Staff Software Engineer to design, build, and scale the distributed systems powering autonomous AI clinicians. This is a highly hands-on, Python-first engineering role focused on production systems, AI infrastructure, and large-scale backend architecture. You'll help shape technical direction while remaining deeply involved in implementation, partnering closely with founders and engineering teammates to solve complex, real-world healthcare challenges. What You'll Do - AI Platform Engineering: - Design and scale AI agents for healthcare applications - Build distributed backend systems supporting AI-driven clinical workflows - Develop secure healthcare infrastructure for enterprise customers - Work on LLM, reinforcement learning, and agent-based architectures - System Architecture: - Design scalable production architectures - Improve reliability, scalability, and system performance - Own critical engineering decisions across distributed systems - Continuously optimize infrastructure and application performance - Technical Leadership: - Support engineers through code reviews and technical mentorship - Drive engineering best practices and architecture discussions - Collaborate closely with founders and product teams - Help maintain a high engineering bar across the organization - Product Development: - Translate ambiguous product requirements into production systems - Ship features rapidly while maintaining engineering quality - Collaborate across engineering, product, and customer teams Qualifications - 7+ years building production software systems - Strong Python engineering experience - Experience designing distributed systems at scale - Excellent system design and architecture skills - Proven experience turning ambiguity into scalable solutions - Strong backend engineering fundamentals - Startup or high-growth company experience - Experience mentoring engineers through technical leadership - High ownership and builder mindset - Excellent communication skills - Based in Europe Nice to Have - Healthcare technology experience - AI, LLM, or Agentic AI experience - Reinforcement Learning - Cloud infrastructure (AWS, GCP, Azure) - Enterprise software experience - Open-source contributions - Experience building products from zero to production - Background in Computer Science, Mathematics, or Physics Benefits - Competitive salary - Meaningful equity package - Fully remote across Europe - Flexible employment (Permanent or B2B) - High ownership from day one - Direct collaboration with founders - Small, elite engineering team - Opportunity to shape core technical architecture - Mission-driven work solving one of healthcare's biggest challenges

Role Description We're looking for a Lead Backend Engineer to build the core automation engine and data platform powering next-generation AI systems. This is a highly hands-on engineering role where you'll architect scalable backend services, build production-grade data pipelines, develop AI infrastructure, and own complex distributed systems from design through production. What You'll Do - Backend Engineering: - Design and build scalable backend services using TypeScript and Node.js - Develop production-ready APIs and distributed systems - Build automation platforms that improve complex business workflows - Architect reliable, scalable backend infrastructure - Data Platforms: - Build robust data pipelines integrating third-party APIs and external data sources - Design scalable relational database schemas and data models - Ensure data integrity, monitoring, validation, and observability - Develop infrastructure supporting business intelligence and AI applications - AI Infrastructure: - Build systems supporting AI agents and intelligent automation - Develop scalable execution environments for AI-powered workflows - Create secure, traceable, and reliable automation platforms - Contribute to next-generation knowledge management systems - Technical Leadership: - Lead projects from architecture through production deployment - Drive engineering best practices and technical excellence - Identify technical risks early and deliver incrementally - Collaborate across engineering and product teams to solve complex problems Qualifications - 5+ years building production backend or server-side systems - Strong TypeScript and Node.js expertise - Experience with Python, Go, Rust, or Java - Advanced SQL and relational database design - Experience building production data pipelines - Experience integrating third-party APIs - Strong distributed systems knowledge - Excellent system design and architecture skills - High ownership and execution mindset - Experience leading complex technical initiatives Requirements - AI infrastructure or LLM experience - Blockchain or distributed ledger experience - Experience with Notion, Supabase, or similar platforms - Event-driven architectures - Open-source contributions - PostgreSQL expertise - Observability and monitoring platforms - Startup or high-growth company experience Benefits - Competitive USD compensation - Equity and token participation - Performance-based bonuses - Fully remote within the United States - High ownership from day one - Opportunity to build cutting-edge AI infrastructure - Small, high-performing engineering team - Collaborative, fast-paced environment focused on solving meaningful technical challenges

Role Description We're looking for a Senior Machine Learning Engineer (Production AI Systems) to build, deploy, and operate production-grade machine learning systems that detect and counter disinformation at scale. This is a hands-on engineering role spanning the entire ML lifecycle, from data pipelines and model development through deployment, monitoring, and continuous optimisation. You'll work closely with software engineers, ML engineers, and intelligence specialists to deliver reliable AI systems used in real-world environments. If you enjoy building production AI systems, taking ownership, and solving challenging engineering problems, we'd love to hear from you. What You'll Do - Machine Learning Engineering: - Build and deploy production-ready machine learning systems - Design, train, evaluate, and optimise ML models - Continuously monitor and improve model performance - Own the complete ML lifecycle from development to production - Data & Infrastructure: - Build scalable batch and streaming data pipelines - Work with SQL and NoSQL databases - Develop containerised ML services using Docker - Improve CI/CD pipelines and deployment workflows - Engineering & Collaboration: - Design reliable, scalable ML infrastructure - Work across software engineering, ML, and intelligence teams - Optimise systems for performance, scalability, and reliability - Balance latency, accuracy, and infrastructure costs Qualifications - Proven experience building production machine learning systems - Strong Python engineering skills - End-to-end ML lifecycle experience - Experience with SQL and NoSQL databases - Experience with streaming and batch data processing - Docker and containerisation experience - Hands-on CI/CD experience - Strong software engineering fundamentals - Excellent problem-solving and systems thinking - High ownership and ability to work independently - Existing UK work authorization Requirements - Startup or early-stage company experience - Experience building AI products from concept to production - Cloud platform experience (AWS, Azure, or GCP) - Experience with large-scale distributed ML systems - Personal ML or open-source projects - Experience in cybersecurity, misinformation detection, or intelligence systems Benefits - Competitive salary - Early-stage equity (Share Options) - Fully remote working across Europe - Flexible, outcomes-driven culture - 25 days annual leave plus your birthday off - Private pension contributions - High ownership from day one - Opportunity to build AI systems tackling one of today's most important global challenges

Role Description We're looking for a Senior Full Stack Engineer (PHP/Symfony) to join the core product team and take ownership of building secure, scalable features used daily by healthcare professionals. This is a high-impact engineering role where you'll drive technical decisions, mentor developers, and own projects from architecture through production deployment while working in a collaborative, remote-first environment. If you're passionate about building high-quality SaaS products with modern engineering practices and enjoy taking ownership from idea to production, we'd love to hear from you. What You'll Do - Full Stack Development: - Lead end-to-end feature development from concept through deployment - Build secure, scalable backend services using Symfony - Improve and maintain React-based frontend features - Design high-quality, maintainable software architectures - Technical Leadership: - Drive architecture and technical design decisions - Mentor junior engineers through code reviews and technical guidance - Collaborate closely with Product, Design, and Engineering teams - Contribute to roadmap planning and technical estimation - Engineering Excellence: - Write comprehensive unit and integration tests - Improve CI/CD pipelines and deployment processes - Maintain high coding standards and software quality - Continuously improve performance, security, and scalability Qualifications - 6+ years of professional software engineering experience - 2+ years in a Senior Software Engineer role - Strong PHP and Symfony expertise - Deep knowledge of Doctrine ORM - Practical experience with Domain-Driven Design (DDD) - Strong MySQL database design and optimization skills - Experience writing unit and integration tests - Solid React.js experience - Docker experience - GitLab CI/CD experience - Strong understanding of backend and frontend security - Excellent communication and problem-solving skills - Based within the European Union Nice to Have - HealthTech or SaaS experience - Experience working in regulated industries - Experience migrating monolithic applications toward DDD - Public GitHub contributions or technical writing - Experience mentoring engineers - Strong DevOps mindset Benefits - €60,000–€80,000 annual salary - Fully remote work across the EU - High ownership and technical autonomy - One-week onboarding in Munich - Modern equipment package - English or German language courses - Training budget for books, workshops, and conferences - Team events and annual company gatherings - Mental health support through an online psychotherapy platform - Long-term career growth in a rapidly growing HealthTech SaaS company

Role Description We're looking for a Senior Full Stack Engineer (PHP/Symfony) to join the core product team and take ownership of building secure, scalable features used daily by healthcare professionals. This is a high-impact engineering role where you'll drive technical decisions, mentor developers, and own projects from architecture through production deployment while working in a collaborative, remote-first environment. If you're passionate about building high-quality SaaS products with modern engineering practices and enjoy taking ownership from idea to production, we'd love to hear from you. What You'll Do - Full Stack Development: - Lead end-to-end feature development from concept through deployment - Build secure, scalable backend services using Symfony - Improve and maintain React-based frontend features - Design high-quality, maintainable software architectures - Technical Leadership: - Drive architecture and technical design decisions - Mentor junior engineers through code reviews and technical guidance - Collaborate closely with Product, Design, and Engineering teams - Contribute to roadmap planning and technical estimation - Engineering Excellence: - Write comprehensive unit and integration tests - Improve CI/CD pipelines and deployment processes - Maintain high coding standards and software quality - Continuously improve performance, security, and scalability Qualifications - 6+ years of professional software engineering experience - 2+ years in a Senior Software Engineer role - Strong PHP and Symfony expertise - Deep knowledge of Doctrine ORM - Practical experience with Domain-Driven Design (DDD) - Strong MySQL database design and optimization skills - Experience writing unit and integration tests - Solid React.js experience - Docker experience - GitLab CI/CD experience - Strong understanding of backend and frontend security - Excellent communication and problem-solving skills - Based within the European Union Requirements - HealthTech or SaaS experience - Experience working in regulated industries - Experience migrating monolithic applications toward DDD - Public GitHub contributions or technical writing - Experience mentoring engineers - Strong DevOps mindset Benefits - €60,000–€80,000 annual salary - Fully remote work across the EU - High ownership and technical autonomy - One-week onboarding in Munich - Modern equipment package - English or German language courses - Training budget for books, workshops, and conferences - Team events and annual company gatherings - Mental health support through an online psychotherapy platform - Long-term career growth in a rapidly growing HealthTech SaaS company

Role Description We're looking for a Senior Machine Learning Engineer (Foundation Models) to lead the development, optimisation, and production deployment of our next-generation foundation model. This is a deeply technical, hands-on role where you'll: - Lead the research, development, and deployment of large-scale foundation models - Define long-term technical strategy for high-performance ML systems - Build scalable training and inference infrastructure - Own model quality, performance, and reliability - Optimise distributed training and inference pipelines - Design GPU-accelerated systems, including custom CUDA kernels when needed - Profile and optimise data pipelines, training loops, inference, and deployment - Build internal tooling, benchmarking systems, and evaluation frameworks - Design scalable ML infrastructure and solution architectures - Evaluate and implement state-of-the-art ML technologies - Work closely with founders to translate product goals into technical roadmaps - Drive engineering excellence across the ML platform Qualifications - Extensive experience designing and building large-scale foundation models - Strong Python and CUDA C/C++ expertise - Deep knowledge of PyTorch (preferred) or another major deep learning framework - Experience optimising and debugging deep learning models - Experience with distributed training and large-scale inference - Experience building ML systems on AWS, Azure, or GCP - Strong GPU optimisation experience - Experience building production ML infrastructure - Excellent system design skills - Delivery-focused mindset with strong ownership - Comfortable solving ambiguous, high-impact problems - Able to work onsite in London or visit the office at least once per month Requirements - Experience with Mixture of Experts (MoE) or State Space Models - Custom CUDA kernel development - ML systems operating under strict production SLOs - Experience building internal ML tooling and benchmarking frameworks - Startup or research lab experience shipping foundation models - Experience scaling distributed GPU clusters Benefits - £100,000-£150,000 salary - Meaningful equity (Share Options) - Opportunity to build a first-of-its-kind foundation model - Direct collaboration with founders - No take-home assignments or live coding interviews - Transparent, low-ego engineering culture - High ownership and technical autonomy - Office-first environment with flexibility for exceptional candidates

Role Description We're looking for a Staff Platform Engineer (Kubernetes, AWS & GCP) to own and scale the platform infrastructure powering one of Latin America's fastest-growing healthcare technology companies. This is a highly hands-on engineering role, not a management position. You'll: - Design production architectures - Build platform capabilities from scratch - Own Kubernetes across multiple cloud providers - Improve developer experience - Ensure the platform remains secure, reliable, and scalable as the business grows What You'll Do - Platform Engineering: - Design and own the platform architecture end-to-end - Build shared backend infrastructure, APIs, internal tooling, and platform services - Develop infrastructure using Infrastructure as Code - Drive platform scalability and reliability - Cloud & Kubernetes: - Manage Kubernetes clusters across AWS and GCP - Improve networking, security, scalability, and workload orchestration - Design highly available multi-cloud infrastructure - Optimize platform performance and operational efficiency - Engineering & Automation: - Develop production backend services and platform tooling - Modernize and improve legacy systems - Build observability, monitoring, and incident response capabilities - Drive AI-assisted engineering workflows across the platform - Security & Compliance: - Own platform security and compliance initiatives - Build secure infrastructure supporting HIPAA, LGPD, ISO 27001, and similar standards - Implement secrets management, audit logging, and zero-trust networking Qualifications - Extensive production experience with Kubernetes - Strong hands-on AWS and GCP experience - Backend engineering expertise - Experience designing and shipping platform architecture - Infrastructure as Code experience (Pulumi, Terraform, or similar) - Experience modernizing legacy systems - Production observability and incident management experience - Experience working in regulated environments (HIPAA, SOC2, GDPR, LGPD, ISO 27001) - Strong software engineering and debugging skills - AI-first mindset with daily use of AI development tools - High ownership and builder mentality Nice to Have - Graph databases (Neo4j, Amazon Neptune) - MongoDB or Firestore at scale - Healthcare infrastructure experience - FHIR APIs or EHR integrations - Technical leadership and mentoring experience - Service Mesh, Platform Engineering, or Developer Platform experience Benefits - Competitive salary - Equity opportunity - Fully remote work within Brazil - High ownership from day one - Direct collaboration with founders - Modern AI-first engineering culture - Opportunity to build platform infrastructure used at national scale - Work on meaningful healthcare technology with real-world impact

Role Description We're looking for a Senior Paid Acquisition Manager to own user acquisition across paid channels from strategy through execution. This is a highly hands-on role—not one where you simply oversee agencies or review reports. You'll be launching campaigns, analysing performance, testing creatives, optimising funnels, and scaling acquisition across mobile-first products. If you enjoy owning results, moving fast, and making data-driven decisions every day, you'll thrive here. What You'll Do - Paid Acquisition: - Own end-to-end paid acquisition campaigns across Meta, TikTok, Google, and other relevant channels - Launch, optimise, and scale campaigns independently - Manage budgets to maximise profitable growth - Performance Optimisation: - Monitor and improve CPA, CAC, ROAS, LTV, and other key acquisition metrics - Continuously test audiences, creatives, bidding strategies, messaging, and landing pages - Identify growth opportunities through structured experimentation - Creative & Product Collaboration: - Partner closely with Creative teams to iterate on high-performing ad creatives - Collaborate with Product and Marketing to improve onboarding, conversion, and user journeys - Attribution & Analytics: - Own attribution using platforms such as Singular - Ensure accurate tracking across channels - Translate performance insights into budget allocation and optimisation decisions - Growth Experiments: - Test new acquisition channels and campaign formats - Scale winning experiments while maintaining efficiency - Continuously improve customer acquisition performance - Compliance: - Execute campaigns within fintech and financial advertising guidelines - Ensure compliance with platform policies and regulatory requirements Qualifications - 2-5+ years of hands-on paid acquisition or growth marketing experience - Proven experience managing mobile app acquisition campaigns - Strong experience with TikTok Ads (mandatory) - Experience managing Meta Ads and Google Ads - Background in mobile-first consumer products or apps - Experience working in a DTC business with direct ownership of acquisition performance - Strong understanding of CPA, ROAS, CAC, LTV, attribution, and performance optimisation - Hands-on experience with attribution platforms, ideally Singular - Analytical mindset with strong experimentation skills - Ability to work independently with full ownership of results Requirements - FinTech or other regulated industry experience (Nice to Have) - Cohort analysis and incrementality testing (Nice to Have) - Advanced attribution modelling (Nice to Have) - Experience scaling large acquisition budgets (Nice to Have) - Experience working closely with Creative Strategists on performance creatives (Nice to Have) Benefits - $100,000-$140,000 USD base salary - Equity (Stock Options) - Fully remote work - Flexible working environment - Health, dental, and vision insurance - Unlimited PTO - Learning & development budget - Collaborative, high-performance culture - Opportunity to build acquisition at scale in one of the fastest-growing AI fintech companies

Role Description We're looking for a Forward Deployed Engineer who owns customer outcomes, not just code. This is a hybrid role combining software engineering, AI, data engineering, product thinking, and customer collaboration. You'll work directly with enterprise customers, build production-grade integrations and AI workflows, rapidly deliver proof-of-concepts, and turn customer needs into scalable platform capabilities. If you enjoy solving ambiguous problems, building production systems, and seeing your work create immediate business impact, you'll thrive here. What You'll Do - Customer Delivery: - Own enterprise customer implementations from discovery through production deployment - Work directly with customer teams to understand business challenges and define technical solutions - Build production-ready AI workflows, integrations, and data pipelines - Product Engineering: - Develop scalable integrations, APIs, automations, and AI-powered workflows - Build features that initially solve customer-specific needs before evolving into core platform capabilities - Continuously improve platform scalability through automation - Data & AI: - Design and implement data pipelines and integrations - Build evaluation frameworks for AI systems - Ensure outputs remain explainable, reliable, and production-ready - Customer Success: - Build rapid Proofs of Concept (PoCs) for enterprise prospects - Help customers achieve measurable ROI quickly - Translate technical concepts into business value for non-technical stakeholders Qualifications - 5+ years of software engineering experience - Strong Python and SQL skills - Experience building production software end-to-end - Strong data engineering background (ETL, pipelines, data integrations) - Customer-facing experience working directly with enterprise clients - Excellent communication and stakeholder management skills - Comfortable working independently in ambiguous environments - Strong ownership mindset with a focus on customer outcomes Requirements - Nice to Have: - Forward Deployed Engineer, Customer Engineer, Solutions Engineer, or Product Engineer experience - Experience with Databricks, Spark, Snowflake, or dbt - Experience building AI/LLM applications (LangChain, LangGraph, RAG, Vector Databases) - Startup or founding engineer experience - FinTech or enterprise SaaS background Benefits - Competitive salary - Meaningful equity - Fully remote work within the European Time Zone - Employer of Record (EOR) employment - High ownership and direct customer impact - Opportunity to work with cutting-edge AI technologies - Collaborative, high-performance engineering culture - Career growth in one of Europe's fastest-growing AI fintech companies